Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/ykdojo/safeclaw/gdocnpx skills add ykdojo/safeclaw --skill gdocgit clone --depth 1 https://github.com/ykdojo/safeclawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ykdojo/safeclaw/gdoc)<a href="https://agentmods.dev/skills/ykdojo/safeclaw/gdoc"><img src="https://agentmods.dev/badge/skills/ykdojo/safeclaw/gdoc.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00016 | $0.00120 |
| Opus 5 | $0.00008 | $0.00060 |
| Sonnet 5 | $0.00003 | $0.00024 |
| Haiku 4.5 | $0.00002 | $0.00012 |
Grade A, and why
gdoc scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: Read publicly shared Google Docs using curl to download into a file. Copies of this mod
1 near-identical copy found in the catalogue:
- gdoc — 100% identical, 0 lines differ
What it actually says
Google Docs Reader
To read a Google Doc:
- Replace
/edit(or any suffix after the doc ID) with/mobilebasic - ALWAYS use curl, NOT WebFetch. WebFetch summarizes/truncates content. curl gets the full document:
curl -sL 'https://docs.google.com/document/d/DOC_ID/mobilebasic' > /tmp/doc.txt
- Read the downloaded file with the Read tool
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 18 lines · 16 tokens per session scan A be8ced182996
gdoc is a skill published in the GitHub repository ykdojo/safeclaw (181 stars, last pushed 5d ago), licensed MIT. It adds 16 tokens to every session and 120 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
external-context
Invoke parallel document-specialist agents for external web searches and documentation lookup.
docx-comment-reply
Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.
moai-workflow-docs-claim-check
Read-only check of whether the claims a public-facing document makes (README, release notes, install and usage guides) are supported by user-supplied evidence. Runs Preflight, Claim Triage, and Validation, splits composite claims into atomic ones, and labels each. Runs no commands and writes no fixes.
oma-pdf
Convert PDF files to Markdown using opendataloader-pdf. Extracts text, tables, headings, lists, and images with correct reading order. Use for PDF parsing, PDF to Markdown conversion, document extraction, and AI-ready data preparation.
oma-hwp
Convert HWP / HWPX / HWPML files to Markdown using kordoc. Extracts text, headings, tables, lists, images, footnotes, and hyperlinks. Use for Korean word processor files (Hangul), government documents, and AI-ready data preparation.
document-skills
Umbrella skill for document workflows (PDF/DOCX/XLSX/PPTX). Dispatches to the most specific document skill to reduce noise and improve routing precision.